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Tourism-Project

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# Download the model from Hugging Face Hub
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model_path = hf_hub_download(
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repo_id="AnkushWaghmare/Tourism-Project-model",
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filename="best_package_model_v1.joblib"
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filename="best_Tourism-Project_model_v1.joblib"
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)
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# Load the trained model
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api = HfApi(token=os.getenv("HF_TOKEN"))
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api.upload_folder(
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folder_path="mlops/deployment", # the local folder containing your files
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folder_path="tourism_project/deployment", # the local folder containing your files
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repo_id="AnkushWaghmare/Tourism-Project-Space", # the target repo
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repo_type="space", # dataset, model, or space
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path_in_repo="", # optional: subfolder path inside the repo
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})
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# Save the model locally
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model_path = "best_churn_model_v1.joblib"
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model_path = "best_Tourism-Project_model_v1.joblib"
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joblib.dump(best_model, model_path)
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# Log the model artifact

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